PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-07-18 10:22:27.423040+00:00 (UTC)
In US/Central Time, this is 2024-07-18 05:22:27.423040-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/e506b43d303041226b4bc1674b4a1817f1a5e881aefbd4bbb084a422db5c9b57.png
We are just generating a random time serie here.
../_images/538b16928f109284ea79735a97db7a32fb1ae128017a3e15684f7b82463c4ba5.png
../_images/2fccd07f49334daad23819e0b748c85f4e57e8d96e7d99a8da34922459d17a9e.png